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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: A Prime Exploration of Collision Detection in WSN: A Review
Authors Name: Aarti Kumari , Neha Shrivastava , Nitin Kali Raman
Unique Id: IJSDR1904053
Published In: Volume 4 Issue 4, April-2019
Abstract: Automated learning also stimulates many practical solutions that increase resources and increase the life of the network. In this paper, we present a broad review of the literature on machine learning methods during the period 2002-2018, which is used to solve common problems in wireless sensor networks (WSNs). The advantages and disadvantages of each proposed algorithm are evaluated for the corresponding problem. We also provide comparative guidance to help WSN designers develop the right automated learning solution to meet the challenges of their applications. We plan the embedded web application and discuss the requirements resulting from this analysis. In addition, we discussed the specific treatment techniques in the network and pointed to the similarity between the hop-field nerve network and the back propagation network. The sensor network context is presented in the following neural network. We half the motives and facts of neural networks in a sensor network environment and evaluate the early results obtained through the application of the test. We believe that these models are likely to have a strong impact on future research, especially if they are applied as hybrid technologies. We perform this function for WNS to look for collisions in the sensor network and try to determine the value of the output of data sent over the sensor network.
Keywords: WSN, Hop-Field Network, ANN, Sensor Nodes
Cite Article: "A Prime Exploration of Collision Detection in WSN: A Review", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 4, page no.241 - 244, April-2019, Available :http://www.ijsdr.org/papers/IJSDR1904053.pdf
Downloads: 000336258
Publication Details: Published Paper ID: IJSDR1904053
Registration ID:190408
Published In: Volume 4 Issue 4, April-2019
DOI (Digital Object Identifier):
Page No: 241 - 244
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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